Journal Article

REJECTOR: software for population history inference from genetic data via a rejection algorithm

Matthew J. Jobin and Joanna L. Mountain

in Bioinformatics

Volume 24, issue 24, pages 2936-2937
Published in print December 2008 | ISSN: 1367-4803
Published online October 2008 | e-ISSN: 1460-2059 | DOI: https://dx.doi.org/10.1093/bioinformatics/btn540
REJECTOR: software for population history inference from genetic data via a rejection algorithm

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Summary: We introduce REJECTOR, software for parameter estimation and comparison of alternate models of population history from genetic data via a rejection algorithm. Through coalescent simulation, REJECTOR generates numerous gene genealogies, and hence simulated data, under a model of population history specified by the user. Summary statistics derived from such simulated data are compared with observed statistics, leading to acceptance or rejection of a given set of parameter values. We performed tests of the software using known parameter values in order to assess the inferential power provided by each summary statistic. The tests demonstrate the precision and accuracy of estimation made possible using this approach.

Availability: http://www.rejector.org

Contact: mjobin@stanford.edu

Supplementary Information: Supplementary data are available at http://www.rejector.org/guide.pdf

Journal Article.  1329 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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